# Verifiable Efficiency Limits of Innate LLM Planning in Sliding Puzzles

> 全文为英语

**Published:** 2026年10月28日
**Author:** Yezhou Cheng, Charles Ling
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/zh/articles/verifiable-efficiency-limits-of-innate-llm-planning-in-sliding-puzzles

arXiv:2610.36415v1 Announce Type: new Abstract: Tool-assisted planning success can reflect external search and verification, leaving a model's unaided planning ability unresolved. We isolate innate planning through complete plans generated in one response without tools or…

> 内容来自原始来源： **arXiv — cs.AI**
> [在 arXiv — cs.AI 阅读全文](https://arxiv.org/abs/2610.36415)

**标签：** #arXiv

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